Julie Vogelman
Staff Software Engineer at Intuit
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJulie Vogelman is a Staff Software Engineer with 10+ years building high-scale, low-latency backend systems and leading engineering teams from design through production. Based in Sunnyvale, she drives Intuit’s contributions to the Argo open-source ecosystem (argo-workflows and argo-events), focusing on artifact streaming, event bus reliability, and Kubernetes-native automation. Previously she architected and led development of a production C-V2X edge platform at Verizon that handled 20K messages/sec with <50ms delivery, demonstrating expertise in Go, microservices, and autoscaling. Her background spans systems work from real-time defense visualization to media optimization and travel platforms, giving her a rare mix of hard real-time, distributed systems, and cloud-native experience. Colleagues rely on her for pragmatic designs that balance performance, observability, and operational resilience.
10 years of coding experience
20 years of employment as a software developer
Bachelor's of Science, Computer Science, GPA: 3.562, Class Rank: 140/744, Bachelor's of Science, Computer Science, GPA: 3.562, Class Rank: 140/744 at University of Virginia
Github Skills (24)
kubernetes10
docker10
back-end-development10
workflow-engine10
dockers10
cicd10
event-driven10
automation10
go10
automation-testing10
kubernetes-pods10
automations10
amazon-s39
aws-s39
s3-bucket9
Programming languages (4)
Github contributions (5)
argoproj/argo-workflows
Mar 2022 - Jan 2023
Workflow Engine for Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:764 reviews, 52 commits, 180 PRs in 10 months
Contributions summary:Julie Vogelman primarily contributed to enhancing the workflow engine for Kubernetes. Her commits focused on implementing features related to artifact streaming, which involved modifying S3 artifact handling and creating new server endpoints. She also worked on directory listing capabilities and integrating workflow metadata into global parameters, ensuring consistency across the Argo Workflows ecosystem. Further contributions involved fixing issues in the UI logs viewer and updating documentation.
workflow-automationdagworkflow-enginemachine-learninghpa
argoproj/argo-events
Feb 2022 - Nov 2022
Event-driven Automation Framework for Kubernetes
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:71 reviews, 35 commits, 45 PRs in 9 months
Contributions summary:Julie primarily focused on fixing bugs and improving the functionality of the Argo Events framework. Their contributions include addressing issues related to e2e tests, conditions reset, authentication mechanisms, and finer-grained time comparisons within the system. The user also implemented new features, such as TLS integration, and refactored code for improved performance and reliability, specifically around Jetstream event bus integration. In addition, the user assisted in the expansion of the e2e tests.
cloudeventsframeworkevent-driven-automationkubernetesautomation
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